Metaphorical Perceptions of Middle School Students Regarding the Concept of Artificial Intelligence

Murat Tartuk

Abstract


Artificial intelligence and technologies have started to directly affect and steer humanity with the developments in science and technology in recent years. Artificial intelligence is like a living organism that thinks, decides and remembers for humans. The effects and consequences of this situation on individuals and societies are explicitly predicted and observed. However, how these results will affect our future in the long term remains a big question mark. It seems likely that countries will add artificial intelligence and coding literacy skills to their curricula in order to raise awareness of their citizens in the face of these possible questions and problems in the coming years. Nowadays, understanding artificial intelligence is key to using technology effectively. Students’ perceptions of this concept is crucial because of this. This present study aimed to determine the metaphorical perceptions of middle school students about the concept of artificial intelligence. Also, it is a qualitative study with phenomenological design principles. The study group consisted of 86 students studying in the 5th, 6th, 7th and 8th grades of a private school affiliated to the Ministry of National Education (MoNE) of the Republic of Turkey. The students were asked to complete the sentence “Artificial intelligence is like... because...”. The data obtained from the research were analyzed by content analysis method. As a result of the research, it was determined that middle school students developed 51 different metaphors about the concept of artificial intelligence. It was found that these metaphors developed by the students were diverse and creative. The most frequently used metaphors are human (10), brain (8), robot (4), technology (3) and scientist (3). The metaphors developed by the students about the concept of artificial intelligence were separated in 4 different categories. These categories are technical/object, human/subject, nature-related and interesting/other. Middle school students perceived the concept of artificial intelligence mostly through human subjective elements. In addition, it was observed that students perceived the concept of artificial intelligence in a very broad perspective.

Keywords


Artificial Intelligence, Education, Middle School Students, Metaphorical Perception

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References


Ahmad, S. F., Alam, M. M., Rahmat, M., Mubarik, M. S., & Hyder, S. I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 1101.

Aydın, N. (2019). STEM ve STEM temelli robotik etkinliklerinin ortaokul öğrencilerinin problem çözmeye yönelik yansıtıcı düşünme, zihinsel risk alma ve öğrenmede motive edici stratejilerine etkisi. Erzincan Binali Yıldırım Üniversitesi Fen Bilimleri Enstitüsü, Erzincan.

Aytekin, A., Çakır, F. S., Yücel, Y. B., & Kulaözü, İ. (2018). Geleceğe yön veren kodlama bilimi ve kodlama öğrenmede kullanılabilecek bazı yöntemler. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 5(5), 24-41.

Arslan, K. (2020). Eğitimde yapay zekâ ve uygulamaları. Batı Anadolu Eğitim Bilimleri Dergisi, 11(1),

-88.

Aktaş, A. (2021). Yönetici ve öğretmen görüşlerine göre yapay zekâ: Bir metafor çalışması. 1. Ulusal Eğitimde Yapay Zekâ Uygulamaları Kongresi. Harran Üniversitesi, Şanlıurfa.

Akgun, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 1-10.

Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted. Exploring the future of artificial intelligence in schools and colleges, 1-56.

Britannica (23 February 2023). Artificial İntelligence. https://www.britannica.com/technology/artificial-intelligence

Bilgin, N. (2014). Sosyal bilimlerde içerik analizi: Teknikler ve örnek çalışmalar (3. Baskı). Siyasal Kitabevi.

Ceylan, V. K., & Gündoğdu, K. (2018). Bir olgubilim çalışması: Kodlama eğitiminde neler yaşanıyor? Eğitim Teknolojisi Kuram ve Uygulama, 8(2), 1-34.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278.

Chen, X., Xie, H., Zou, D., & Hwang, G. J. (2020). Application and theory gaps during the rise of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100002.

Creswell, J. W. (2015). Nitel araştırma yöntemleri – Beş yaklaşıma göre nitel araştırma ve araştırma deseni [Qualıtatıve ınquıry – research desıgn – Choosing among five approaches] (M. Bütün, & S. B. Demir, Translation). Siyasal.

Coşkun, F., & Gülleroğlu, H. D. (2021). Yapay zekânın tarih içindeki gelişimi ve eğitimde kullanılması. Ankara University Journal of Faculty of Educational Sciences (JFES), 54(3), 947-966.

Çam, M. B., Çelik, N., Turan, Güntepe, E., & Durukan, Ü. G. (2021). Öğretmen adaylarının yapay zekâ teknolojileri ile ilgili farkındalıklarının belirlenmesi. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 18(48), 263-285.

Çetin, M., & Aktaş, A. (2021). Yapay zeka ve eğitimde gelecek senaryoları. OPUS International Journal of Society Researches, 18(Eğitim Bilimleri Özel Sayısı),

-4268.

Fahimirad, M., & Kotamjani, S. S. (2018). A review on application of artificial intelligence in teaching and learning in educational contexts. International Journal of Learning and Development, 8(4), 106-118.

Fredkin, E. (1993). A new cosmogony. In D. Matzke (Ed.), PhysComp92 (pp. 116–121). Los Alamitos, CA: Computer Society Press.

Ghosh, A., Chakraborty, D., & Law, A. (2018). Artificial intelligence in Internet of things. CAAI Transactions on Intelligence Technology, 3(4), 208-218.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: promises and implications for teaching and learning. Center for Curriculum Redesign, Boston.

İşler, B., & Kılıç, M. (2021). Eğitimde Yapay Zekâ Kullanımı ve Gelişimi. Yeni Medya Elektronik Dergisi, 5(1), 1-11.

Johnson, B., & Christensen, L. (2012). Educational research: Quantitative, qualitative, and mixed approaches. Sage.

Lameras, P., & Arnab, S. (2021). Power to the teachers: an exploratory review on artificial intelligence in education. Information, 13(1), 14.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed - an argument for AI in education. Retrieved from http://discovery.ucl.ac.uk/1475756

McCarthy, J. (2007). What is artificial intelligence? https://cse.unl.edu/~choueiry/S09-476-876/Documents/whatisai.pdf

Merriam, S., B. (2013). Nitel araştırma desen ve uygulama için bir rehber (Çev. Selahattin Turan). Nobel Akademi Yayıncılık.

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. Thousand Oaks, California: Sage.

Nalbant, K. G. (2021). The importance of artificial intelligence in education: a short review. Journal of Review in science and engineering, 2021, 1-15.

Naqvi, A. (2020). Artificial intelligence for audit, forensic accounting, and valuation: a strategic perspective. John Wiley & Sons.

Paek, S., & Kim, N. (2021). Analysis of worldwide research trends on the impact of artificial intelligence in education. Sustainability, 13(14), 7941.

Potter, W, J. (2018). Media literacy. Sage Publications.

Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. International Journal of Artificial Intelligence in Education, 26, 582-599.

Russel, S., & Norvig, P. (2010). Artificial intelligence - a modern approach. Pearson Education.

Saban, A. (2008). Okula ilişkin metaforlar. Kuram ve uygulamada eğitim yönetimi, 55(55), 459-496.

Saçan, S., Tozduman, Yaralı, K., & Kavruk, S. Z. (2022). Çocukların “yapay zeka” kavramına ilişkin metaforik algılarının incelenmesi. Mehmet Akif Ersoy Üniversitesi Eğitim Fakültesi Dergisi, 64, 274-296.

Sayın, Z., & Seferoğlu, S. S. (2016). Yeni bir 21. Yüzyıl becerisi olarak kodlama eğitimi ve kodlamanın eğitim politikalarına etkisi. Akademik Bilişim Konferansı, 3(5).

Shulman, C., & Bostrom, N. (2012). How hard is artificial intelligence? Evolutionary arguments and selection effects. Journal of Consciousness Studies, 19(7-8),

-130.

Su, J., Ng, D. T. K., & Chu, S. K. W. (2023). Artificial intelligence (AI) literacy in early childhood education: The challenges and opportunities. Computers and Education: Artificial Intelligence, 4, 100124.

Tamer, H. Y., & Övgün, B. (2020). Yapay zeka bağlamında dijital dönüşüm ofisi. Ankara Üniversitesi SBF Dergisi, 75(2), 775-803.

Taşçı, G., & Çelebi, M. (2020). Eğitimde yeni bir paradigma: “Yüksek öğretimde yapay zekâ”. OPUS International Journal of Society Researches, 16(29),

-2370.

Teng, X. (2019). Discussion about artificial ıntelligence’s advantages and disadvantages compete with natural ıntelligence. Journal of Physics: Conf. Series 1187, 1-7. doi:10.1088/1742-6596/1187/3/032083

Yıldırım, A., & Şimşek, H. (2013). Sosyal bilimlerde nitel araştırma yöntemleri [Qualitative research methods in the social sciences]. Editions Seçkin.

Zafari, M., Bazargani, J. S., Sadeghi-Niaraki, A., & Choi, S. M. (2022). Artificial intelligence applications in K-12 education: A systematic literature review. IEEE Access, 10, 61905-61921.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education,

(1), 1-27.




DOI: https://doi.org/10.7575/aiac.ijels.v.11n.2p.108

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